arXiv · 2509.08400
Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution
Abstract
We introduce ubiquitous intelligence as a paradigm where Large Language Models (LLMs) evolve within wireless network-driven ecosystems. Unlike static model deployments, this approach enables scalable and continuous intelligence ascension through coordination between networks and LLMs. Wireless networks support system-orchestrated lifelong learning, while LLMs drive the next-generation network development that is more adaptive and responsive. This co-evolution highlights a shift toward self-improving systems, sustaining capability growth across diverse and resource-constrained environments.
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Xingkun Yin, Feiran You, Hongyang Du, Kaibin Huang. 2025-09-10. Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution. https://arxiv.org/abs/2509.08400
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